For the troublesome image, here are the components that are being blended:
fullres - best detail, least aliasing, but noisy in shadows
fullres_smooth - the above, but with chroma filtered (used in highlights, where one ISO is overexposed)
halfres - least noise, but aliased; not used directly
halfres_smooth - the above, with chroma filtered; used in deep shadows if the algorithm thinks it's unlikely to have aliasing
The likelyhood of getting aliasing is computed from the difference between fullres and halfres images (and filtered a little).
In this image, the resolution chart detail is quite dark (close to the ISO 100 noise floor), so the algorithm chooses the less noisy version. Also, there's strong banding in the fullres shot (didn't see it that bad in the other shots). Also, the ISO 100 noise is a bit higher than normal (sensor got hot?)
At a closer look, the two exposures are not properly matched (ISO 100 shows a strong green cast in shadows), so the root of the problem is when matching the ISOs. The sensor response is probably nonlinear, and my algorithm assumes it's perfectly linear.